Shape reconstruction of a cavity with impedance boundary condition via the reciprocity gap method

IF 1.2 3区 数学 Q1 MATHEMATICS
Xueping Chen, Yuan Li
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引用次数: 0

Abstract

We consider an interior inverse scattering problem of reconstructing the shape of a cavity with impedance boundary condition from measured Cauchy data of the total field. The incident point sources and the measurements are distributed on two different manifolds inside the cavity. We first prove that the boundary of the cavity and the surface impedance can be uniquely determined by the scattered field data on the measurement manifold. Then we develop a reciprocity gap (RG) method to reconstruct the cavity. The theoretical analysis shows the uniquely solvability and existence of the approximate solution for the linear integral equation constructed in the RG method. We also prove that the shape of the cavity can be characterized by the blow-up property of the approximate solution of the proposed integral equation. Numerical examples are presented to verify the feasibility of the RG method.
通过互易间隙法重建具有阻抗边界条件的空腔形状
我们考虑了一个内部反向散射问题,即根据测量到的总场 Cauchy 数据重建具有阻抗边界条件的空腔形状。入射点源和测量值分布在空腔内部两个不同的流形上。我们首先证明,空腔的边界和表面阻抗可以通过测量流形上的散射场数据唯一确定。然后,我们开发了一种互易间隙(RG)方法来重构空腔。理论分析表明了 RG 方法所构建的线性积分方程的唯一可解性和近似解的存在性。我们还证明了空腔的形状可以通过所提出的积分方程近似解的吹胀特性来表征。我们还给出了数值实例来验证 RG 方法的可行性。
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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